Hippo pathway functions as a downstream effector of AKT signaling to regulate the activation of primordial follicles in mice.

Clarifying the molecular mechanisms by which primordial follicles are initiated is crucial for the prevention and treatment of female infertility and ovarian dysfunction. The Hippo pathway has been proven to have a spatiotemporal correlation with the size of the primordial follicle pool in mice in our previous work. But the role and underlying mechanisms of the Hippo pathway in primordial follicle activation remain unclear. Here, the localization and expression of the core components were examined in primordial follicles before and after activation. And the effects of the Hippo pathway on primordial follicle activation were determined by genetically manipulating yes-associated protein 1 (Yap1), the key transcriptional effector. Furthermore, an AKT specific inhibitor (MK2206) was added to determine the interaction between the Hippo pathway and AKT, an important signaling regulator of ovarian function. Results showed that the core components of the Hippo pathway were localized in both primordial and primary follicles and the expression levels of them changed significantly during the initiation of primordial follicles. Yap1 knockdown suppressed primordial follicle activation, while its overexpression led to the opposite trend. MK2206 downregulated the ratio of P-MST/MST1 and upregulated the ratio of P-YAP1/YAP1 significantly, whereas Yap1-treatment had no influence on AKT. In addition, YAP1 upregulation partially rescued the suppression of the primordial follicle activation induced by MK2206. Our findings revealed that the Hippo-YAP1 regulates primordial follicular activation, which is mediated by AKT signaling in mice, thus providing direct and new evidence to highlight the role of Hippo signaling in regulating ovarian follicles development.

Prognostic significance of CDK6 amplification in esophageal squamous cell carcinoma.

Dysregulation of CDK6 plays crucial roles in the carcinogenesis of many kinds of human malignancies. However, the role of CDK6 in esophageal squamous cell carcinoma (ESCC) is not well known. We investigated the frequency and prognostic value of CDK6 amplification to improve the risk stratification in patients with ESCC. Pan-cancer analysis of CDK6 was conducted on The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) and Gene Expression Omnibus (GEO) databases. CDK6 amplification was detected in 502 ESCC samples by Fluorescence in situ hybridization (FISH) through tissue microarrays (TMA). Pan-cancer analysis revealed that CDK6 mRNA level was much higher in multiple kinds of cancers and higher CDK6 mRNA level indicated a better prognosis in ESCC. In this study, CDK6 amplification was detected in 27.5% (138/502) of patients with ESCC. CDK6 amplification was significantly correlated with tumor size (p = 0.044). Patients with CDK6 amplification tended to have a longer disease-free survival (DFS) (p = 0.228) and overall survival (OS) (p = 0.200) compared with patients without CDK6 amplification but of no significance. When further divided into I-II and III-IV stage, CDK6 amplification was significantly associated with longer DFS and OS in III-IV stage group (DFS, p = 0.036; OS, p = 0.022) rather than in I-II stage group (DFS, p = 0.776; OS, p = 0.611). On univariate and multivariate analysis of Cox hazard model, differentiation, vessel invasion, nerve invasion, invasive depth, lymph node metastasis and clinical stage were significantly associated with DFS and OS. Moreover, invasion depth was an independent factor for ESCC prognosis. Taken together, for ESCC patients in III-IV stage, CDK6 amplification indicated a better prognosis.

Spectral imaging with deep learning.

The goal of spectral imaging is to capture the spectral signature of a target. Traditional scanning method for spectral imaging suffers from large system volume and low image acquisition speed for large scenes. In contrast, computational spectral imaging methods have resorted to computation power for reduced system volume, but still endure long computation time for iterative spectral reconstructions. Recently, deep learning techniques are introduced into computational spectral imaging, witnessing fast reconstruction speed, great reconstruction quality, and the potential to drastically reduce the system volume. In this article, we review state-of-the-art deep-learning-empowered computational spectral imaging methods. They are further divided into amplitude-coded, phase-coded, and wavelength-coded methods, based on different light properties used for encoding. To boost future researches, we've also organized publicly available spectral datasets.

Differentially Expressed lncRNAs After the Activation of Primordial Follicles in Mouse.

The activation of primordial follicles is critical to ovarian follicle development, which directly influences female fertility and reproductive life span. Several studies have suggested a role for long noncoding RNAs (lncRNAs) in ovarian function. However, the precise involvement of lncRNAs in the initiation of primordial follicles is still unknown. Here, an in vitro culture model was used to investigate the roles of lncRNAs in primordial follicle activation. We found that primordial follicles in day 3 mouse ovaries were activated after culturing for 8 days in vitro, as indicated by ovarian morphology changes, increases in primary follicle number, and downregulation of mammalian Sterile 20-like kinase messenger RNA (mRNA) and upregulation of growth differentiation factor 9 mRNA. We next examined lncRNA expression profiles by RNA sequencing at the transcriptome level and found that among 60 078 lncRNAs, 6541 lncRNA were upregulated and 2135 lncRNA were downregulated in 3-day ovaries cultured for 8 days in vitro compared with ovaries from day 3 mice. We also found that 4171 mRNAs were upregulated and 1795 were downregulated in the cultured ovaries. Gene ontology and pathway analyses showed that the functions of differentially expressed lncRNA targets and mRNAs were closely linked with many processes and pathways related to ovary development, including cell proliferation and differentiation, developmental processes, and other signaling transduction pathways. Additionally, many novel identified lncRNAs showed inducible expression, suggesting that these lncRNAs may be good candidates for investigating mouse primordial follicle activation. This study provides a foundation for further exploring lncRNA-related mechanisms in the initiation of mouse primordial follicles.

Tri-ortho-cresyl phosphate (TOCP) induced ovarian failure in mice is related to the Hippo signaling pathway disruption.

As a plasticizer widely used in society, tri-ortho-cresyl phosphate (TOCP) is reported to inhibit spermatogenesis and growth of spermatogonial stem cells. However, its effects on female reproductive system are virtually unknown. The present study investigated the effects of TOCP on ovarian follicle development by using mouse model of chronic TOCP exposure, and examined the expression of the core components of the Hippo pathway, which had been proven to be crucial for ovarian follicle development. Furthermore, through up-regulation of Hippo-yes-associated protein 1 (Yap1) in ovaries, the potential protective effects of Yap1 over-expression on TOCP-induced ovarian dysfunction were observed. The results showed that TOCP impaired ovarian function in a dose-dependent manner, and the expression of the Hippo pathway changed significantly in TOCP-exposed ovaries. Further, YAP1 over-expression partially reversed the TOCP-induced ovarian impairment. Collectively, these data indicate that the Hippo pathway is involved in the mechanism by which TOCP elicits ovarian function impairment.

Inflamm-Aging: A New Mechanism Affecting Premature Ovarian Insufficiency.

The normal function of ovaries, along with the secretion of sex hormones, is among the most important endocrine factors that maintain the female sexual characteristics and promote follicular development and ovulation. Premature ovarian insufficiency (POI) is a common cause in the etiology of female infertility. It is defined as the loss of ovarian function before the age of 40. The characteristics of POI are menstrual disorders, including amenorrhea and delayed menstruation, accompanied by a raised gonadotrophin level and decreased estradiol level. Inflammatory aging is a new concept in the research field of aging. It refers to a chronic and low-degree proinflammatory state which occurs with increasing age. Inflammatory aging is closely associated with multiple diseases, as excessive inflammation can induce the inflammatory lesions in certain organs of the body. In recent years, studies have shown that inflammatory aging plays a significant role in the pathogenesis of POI. This paper begins with the pathogenesis of inflammatory aging and summarizes the relationship between inflammatory aging and premature ovarian insufficiency in a comprehensive way, as well as discussing the new diagnostic and therapeutic methods of POI.